Support TensorRT provider (#921)

Signed-off-by: manickavela1998@gmail.com <manickavela1998@gmail.com>
Signed-off-by: manickavela1998@gmail.com <manickavela.arumugam@uniphore.com>

Author: manickavela29

sherpa-onnx/csrc/provider.cc

@@ -24,6 +24,8 @@ Provider StringToProvider(std::string s) {
     return Provider::kXnnpack;
   } else if (s == "nnapi") {
     return Provider::kNNAPI;
+  } else if (s == "trt") {
+    return Provider::kTRT;
   } else {
     SHERPA_ONNX_LOGE("Unsupported string: %s. Fallback to cpu", s.c_str());
     return Provider::kCPU;

sherpa-onnx/csrc/provider.h

@@ -18,6 +18,7 @@ enum class Provider {
   kCoreML = 2,   // CoreMLExecutionProvider
   kXnnpack = 3,  // XnnpackExecutionProvider
   kNNAPI = 4,    // NnapiExecutionProvider
+  kTRT = 5,     // TensorRTExecutionProvider
 };
 
 /**

sherpa-onnx/csrc/session.cc

@@ -21,6 +21,16 @@
 
 namespace sherpa_onnx {
 
+
+static void OrtStatusFailure(OrtStatus *status, const char *s) {
+    const auto &api = Ort::GetApi();
+    const char *msg = api.GetErrorMessage(status);
+    SHERPA_ONNX_LOGE(
+      "Failed to enable TensorRT : %s."
+      "Available providers: %s. Fallback to cuda", msg, s);
+    api.ReleaseStatus(status);
+}
+
 static Ort::SessionOptions GetSessionOptionsImpl(int32_t num_threads,
                                                  std::string provider_str) {
   Provider p = StringToProvider(std::move(provider_str));
@@ -53,6 +63,57 @@ static Ort::SessionOptions GetSessionOptionsImpl(int32_t num_threads,
       }
       break;
     }
+    case Provider::kTRT: {
+      struct TrtPairs {
+        const char* op_keys;
+        const char* op_values;
+      };
+
+      std::vector<TrtPairs> trt_options = {
+        {"device_id", "0"},
+        {"trt_max_workspace_size", "2147483648"},
+        {"trt_max_partition_iterations", "10"},
+        {"trt_min_subgraph_size", "5"},
+        {"trt_fp16_enable", "0"},
+        {"trt_detailed_build_log", "0"},
+        {"trt_engine_cache_enable", "1"},
+        {"trt_engine_cache_path", "."},
+        {"trt_timing_cache_enable", "1"},
+        {"trt_timing_cache_path", "."}
+      };
+      // ToDo : Trt configs
+      // "trt_int8_enable"
+      // "trt_int8_use_native_calibration_table"
+      // "trt_dump_subgraphs"
+
+      std::vector<const char*> option_keys, option_values;
+      for (const TrtPairs& pair : trt_options) {
+        option_keys.emplace_back(pair.op_keys);
+        option_values.emplace_back(pair.op_values);
+      }
+
+      std::vector<std::string> available_providers =
+          Ort::GetAvailableProviders();
+      if (std::find(available_providers.begin(), available_providers.end(),
+                "TensorrtExecutionProvider") != available_providers.end()) {
+        const auto& api = Ort::GetApi();
+
+        OrtTensorRTProviderOptionsV2* tensorrt_options;
+        OrtStatus *statusC = api.CreateTensorRTProviderOptions(
+                                    &tensorrt_options);
+        OrtStatus *statusU = api.UpdateTensorRTProviderOptions(
+                tensorrt_options, option_keys.data(), option_values.data(),
+                option_keys.size());
+        sess_opts.AppendExecutionProvider_TensorRT_V2(*tensorrt_options);
+
+        if (statusC) { OrtStatusFailure(statusC, os.str().c_str()); }
+        if (statusU) { OrtStatusFailure(statusU, os.str().c_str()); }
+
+        api.ReleaseTensorRTProviderOptions(tensorrt_options);
+      }
+      // break; is omitted here intentionally so that
+      // if TRT not available, CUDA will be used
+    }
     case Provider::kCUDA: {
       if (std::find(available_providers.begin(), available_providers.end(),
                     "CUDAExecutionProvider") != available_providers.end()) {
@@ -116,7 +177,6 @@ static Ort::SessionOptions GetSessionOptionsImpl(int32_t num_threads,
       break;
     }
   }
-
   return sess_opts;
 }